aureus from 100 to 107 CFU/mL. The entire sample-to-answer time for this biosensor was less than 4 h. CCB-Detection demonstrated satisfactory selectivity for S. aureus without interference from other bacteria. Furthermore, CCB-Detection was successfully applied for sensing S. aureus in real food samples with both known and unknown amounts bacteria (spiked ones and non-spiked ones) and its performance is comparable to the conventional culture-based counting method but with short assay time and high sensitivity. https://www.selleckchem.com/products/caffeic-acid-phenethyl-ester.html With desirable reliability, sensitivity, specificity and simplicity, herein proposed CCB-Detection could be extended and generalised for other bacterial detection, and has great potential to be used in a wide range of applications such as food safety inspection, disease diagnosis, environment monitoring, etc.In this study, an isothermal paper biosensor, combining single universal primer recombinase polymerase amplification (SUP-RPA) and the lateral flow technique was developed for the multiplex detection of genetically modified maize (GMM). In pre-amplification stage, the event-specific primers contain a universal sequence at the 5' end, with a biotin-labeled deoxycytidine triphosphate (dCTP) deoxynucleotide providing additional amplification, which improves their amplification ability and ensures consistent multiplex amplification efficiency. In the signal recognition strategy, the SUP-RPA products are identified visually using the lateral flow biosensor (LFB) through dual hybridization. The accumulation of gold nanoparticles (AuNPs) produces a characteristic red band. Through this biosensor, a limit of detection of at least 50 copies was achieved, which is sensitive enough to detect MON810, MON863 and MON89034 simultaneously. The entire process of analysis was completed within 30 min and without any large-scale instrumentation. This biosensor, therefore, provides a novel rapid and portable multiple detection method for point-of-care applications, especially genetically modified organism (GMO) event-specific detection.Antimicrobial stewardship practices are critical in preventing the further erosion of treatment options for bacterial infections. Yet, at the same time, determination of an infection's antimicrobial susceptibility requires multiple rounds of culture and expensive lab automation systems. In this work, we report the use of paper-based surface enhanced Raman spectroscopy (SERS) sensors and portable instrumentation to phenotypically discriminate multi-drug resistance with fewer culture steps than conventional clinical microbiology. Specifically, we demonstrate the identification of resistance to varying generations of β-lactam antibiotics by detecting the activity of particular β-lactamase enzymes in a multiplexed assay. The method utilizes molecular reporters that consist of β-lactams with SERS barcodes. Hydrolysis of the β-lactam by β-lactamase enzymes in the sample expels the barcode; the released sulfur-containing barcode is then detected via SERS. Using this approach, we demonstrate the differentiation of E. coli strains with (1) extended spectrum β-lactamase (ESBL), (2) narrow-spectrum β-lactamase, and (3) no resistance, using only a single measurement on a single sample. In addition, we experimentally validate an approach to expand the library of reporters through the simple chemical synthesis of new barcoded β-lactams. Importantly, the reported method determines the susceptibility based on phenotypic β-lactamase activity, which is aligned with current microbiology lab standards. This new method will enable the precise selection of effective β-lactam antibiotics (as opposed to defaulting to drugs of last resort) faster than current methods while using simple steps and low-cost portable instrumentation.A smart fluorescent probe DPAS-Cys has been rationally designed based on a typical AIEgen DPAS and an acrylate moiety. The probe DPAS-Cys not only can be used for the detection of cysteine (Cys) selectively with large Stokes shift (200 nm) and relatively low detection limit (2.4 μM), but also shows lipid droplets (LDs) targeting property. The response mechanism for Cys was carefully verified. Importantly, due to the aggregation-induced emission characteristic, the introduction of considerable percentage of traditional organic solvent is avoidable, which makes it suitable for bioimaging in physiological systems. In addition, the confocal fluorescence imaging demonstrates that DPAS-Cys is able to detect Cys in LDs of different cell lines with universality. Our study opens a new avenue to understand the importance of LDs in biosystem, for which the gap between the essential biothiol Cys and the energy storage organelle LDs was bridged for the first time.For metabolite profiling chemical derivatization has been used to improve MS sensitivity and LC retention. However, for multi-analytes quantification, the number of commercially available isotopically labelled internal standards is limited. Besides, there is no single workflow which can provide large-scale metabolomics coverage in particular for polar metabolites. To overcome these limitations and to improve reproducibility a fully automated dual derivatization approach was developed. Differential Isotope Labeling (DIL) was adopted by derivatizing carbonyl, amino and phenol metabolites with two isotopic forms. Urine samples were derivatized with 12C-dansyl chloride (DnsCl) and 12C-dansylhydrazine (DnsHz). Suitable quantification standards were generated by derivatized 40 standards including amino acids, sex hormones and other highly polar metabolites with labelled 13C2-dansyl chloride and 13C2-dansylhydrazine. The derivatization of the standards and the urine sample was performed using a PAL RTC autosampler in-line to column-switching LC-HRMS analysis with data independent acquisition (SWATH-MS). The parallel reactions were completed in 15 min inside of two agitators at different conditions overlapping with the LC-MS analysis time which was of 25 min. The column switching setup is critical to remove the excess of reagents which can negatively affect the ionization efficiency and deteriorate the chromatographic performance. The combination of dual DIL with SWATH-MS acquisition enables post-identification of unknown metabolites and quantitation at precursor (MS1) and specific tag fragment (MS2) levels. The inter- and intra-batch accuracy and precision of the method fall in the range ±15% using single point calibration, and at MS1 or MS2 level providing full flexibility. The method was successfully applied to the analysis of human urine samples.